Search Results - "fMRI"

Machine learning in fMRI classification by Mohd Suhaimi, Nur Farahana, Htike@Muhammad Yusof, Zaw Zaw

“…The recognizing of patterns in brain images is expected to pragmatically tackle the work of testing the fMRI hypotheses. Thus, the aim of this paper is to prove the need of machine learning in fMRI classification.…”
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The relationship between MEG and fMRI by Hall, Emma L., Robson, Sian, Morris, Peter, Brookes, Matthew Jon

“…In recent years functional neuroimaging techniques such as fMRI, MEG, EEG and PET have provided researchers with a wealth of information on human brain function. …”
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Layer-fMRI acquisition and analysis by Marsh, Daniel C.

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Simultaneous EEG and fMRI at high fields by Mullinger, Karen Julia

“…The work described in this thesis involves an investigation of the implementation and application of simultaneous EEG and fMRI. The two techniques arc complementary, with EEG providing excellent temporal resolution and fMRI having good spatial resolution. …”
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Functional brain imaging with fMRI and MEG by He, Jiabao

“…It was shown that a reasonable spatial correspondence between fMRI and MEG can be established. Attempts were made on MEG recordings to extract suitable aspects for temporal features matching fMRI with a method reflecting the physical principles. …”
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EEG-fMRI: novel methods for gradient artefact correction by Spencer, G. S.

“…The general aim of the work detailed in this thesis is to improve the quality of electroencepholography (EEG) recordings acquired simultaneously with functional magnetic resonance imaging (fMRI) data. Simultaneous EEG-fMRI recordings offer significant advantages over the isolated use of each modality for measuring brain function. …”
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Data-driven fMRI data analysis based on parcellation by Ji, Yongnan

“…Functional Magnetic Resonance Imaging (fMRI) is one of the most popular neuroimaging methods for investigating the activity of the human brain during cognitive tasks. …”
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Studying the selectivity of neuronal subpopulations within fMRI voxels by Sapountzis, Panagiotis

“…Functional magnetic resonance imaging (fMRI) has become a ubiquitous tool in cognitive neuroscience. …”
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Interpretation of BOLD events using fMRI at 7 Tesla by Tan, Francisca Marie

Subjects: “…fMRI…”
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Sensory mapping using High-Resolution 7 T fMRI by Asghar, Michael

Subjects: “…fMRI 7T somatosensory visual neuroscience physics MRI pRF…”
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Spatio-temporal fMRI data in the spiking neural network by Saharuddin, Shaznoor Shakira, Murli, Norhanifah

“…This paper addresses a classification problem based on a functional Magnetic Resonance Image (fMRI) brain data experiment involving a subject who reads a sentence or looks at a picture. …”
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Studying neural selectivity for motion using high-field fMRI by Beckett, Alexander

“…Functional magnetic resonance imaging (fMRI) offers a number of opportunities to non-invasively study the properties of the human visual system. …”
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Spurious correlations in simultaneous EEG-fMRI driven by in-scanner movement by Fellner, M.-C., Volberg, G., Mullinger, K.J., Goldhacker, M., Wimber, M., Greenlee, M.W., Hanslmayr, S.

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Investigating Post-Task Responses using MEG and 7T fMRI by Coleman, Sebastian C.

“…This thesis uses MEG and fMRI to study responses that occur in the transition period between task cessation and rest, which we term post-task responses (PTRs). …”
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fMRI study of pain threshold in the presence and absence of the loved one by Tamam, Sofina

“…Laser-induced heat pain and functional magnetic resonance imaging (fMRI) techniques were used to investigate the modulation of pain response under two different conditions. …”
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Functional neuroimaging of the somatosensory system with Ultra-high-field fMRI and MEG by Wang, Fan

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Parcellation of fMRI datasets with ICA and PLS: a data driven approach by Ji, Yongnan, Hervé, Pierre-Yves, Aickelin, Uwe, Pitiot, Alain

“…Inter-subject parcellation of functional Magnetic Resonance Imaging (fMRI) data based on a standard General Linear Model (GLM) and spectral clustering was recently proposed as a means to alleviate the issues associated with spatial normalization in fMRI. …”
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Simultaneous EEG-fMRI : novel methods for EEG artefacts reduction at source by Chowdhury, Muhammad Enamul Hoque

“…This thesis describes the development and application of novel techniques to reduce the EEG artefacts at source during the simultaneous acquisition of EEG and fMRI data. The work described in this thesis was carried out by the author in the Sir Peter Mansfield Magnetic Resonance Centre, School of Physics & Astronomy at the University of Nottingham, between October 2010 and January 2013. …”
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Altered appetite in Crohn’s Disease: deconstructing the enteroendocrine axis using fMRI by Thapaliya, Gita

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Interpreting intervention induced neuroplasticity with fMRI: The case for multimodal imaging strategies by Reid, L., Boyd, Roslyn, Cunnington, R., Rose, S.

“…One popular imaging modality for measuring neuroplasticity is task-based functional magnetic resonance imaging (t-fMRI). In the field of neurorehabilitation, however, assessing neuroplasticity using t-fMRI presents a significant challenge. …”
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